Data-Driven Approaches for Prediction and Classification of Building Energy Consumption
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-2778-1_2
Reference83 articles.
1. Alhamazani K, Ranjan R, Mitra K et al (2015) An overview of the commercial cloud monitoring tools: research dimensions, design issues, and state-of-the-art. Computing 97(4):357–377
2. Al-Homoud MS (2001) Computer-aided building energy analysis techniques. Build Environ 36(4):421–433
3. Amjady N (2001) Short-term hourly load forecasting using time-series modeling with peak load estimation capability. IEEE Trans Power Syst 16(3):498–505
4. An N, Zhao W, Wang J et al (2013) Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting. Energy 49(1):279–288
5. Arambula Lara R, Cappelletti F, Romagnoni P et al (2014) Selection of representative buildings through preliminary cluster analysis
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